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Michael Johannes Barz, M.Sc.

Organizational unit Interactive Machine Learning
Contact +49 681 85775 4819 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 3D-66123 Saarbrücken

Publications

MASTER-XR: Mixed reAlity ecoSystem for TEaching Robotics in manufacturing

Michael Barz; Panagiotis Karagiannis; Johan Kildal; Andoni Rivera Pinto; Judit Ruiz de Munain; Jesús Rosel; Maria Madarieta; Konstantina Salagianni; Panagiotis Aivaliotis; Sotiris Makris; Daniel Sonntag

In: Mohammad-Reza Alam; Madjid Fathi (Hrsg.). Integrated Systems: Innovations and Applications: Results of the 8th International Conference on Integrated Systems Design and Technology (ISDT 2023). Pages 1-16, ISBN 3031536517, Springer, 2024.

To the publication

Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models

Christoph Albert Johns; Michael Barz; Daniel Sonntag

In: Dietmar Seipel; Alexander Steen (Hrsg.). KI 2023: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2023), Berlin, Germany, Pages 75-89, ISBN 978-3-031-42608-7, Springer Nature Switzerland, Cham, 9/2023.

To the publication

A User Interface for Explaining Machine Learning Model Explanations

Md Abdul Kadir; Abdulrahman Mohamed Selim; Michael Barz; Daniel Sonntag

In: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2023), March 27-31, Sydney, NSW, Australia, Pages 59-63, IUI'23 Companion, Vol. Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, ISBN 9798400701078, Association for Computing Machinery, New York, NY, United States, 3/2023.

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All publications

Profile

  • No-IDLE

    Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

    No-IDLE

  • MASTER

    MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

    Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the…

    MASTER

  • SciBot

    Data Science Chatbot: A text-based interface, that learns from experts to support experts

    The goal of this project is the development of efficient methods for analyzing and for learning to analyse the user behavior during interactions with an expert system. The considered scenario includes…

    SciBot